Published on: April 2026
BHABANIPUR ASSEMBLY ELECTION DIGITAL TWIN: A GEO-SPATIAL MULTIMODAL ARTIFICIAL INTELLIGENCE STRUCTURE
Poushali Das Anindita Naha Raima Bhattacharyya Trishna Chakraborty Arpita Chakraborty Chandra Karmakar Siddhartha Chatterjee Subhajit Ojha Abhinaba Bhattacharyya Ritwika Ghosh
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Abstract
Constituency-level election prediction is difficult given the dynamic, non-linear and complex nature of voting behavior that is shaped by behavioral profiles, spatial variance, emotional narratives and temporal variations. Traditional approaches, such as opinion polls and static statistical analyses, often fail to capture these changes in real time. This study suggests the Bhabanipur Assembly Election Digital Twin as a nascent multimodal geo-spatial digital phenotyping approach that will create a digital twin of the constituency by dynamically building a virtual model of the constituency from publicly available digital data sources.
How to Cite this Paper
Das, P., Naha, A., Bhattacharyya, R., Chakraborty, T., Chakraborty, A., Karmakar, C., Chatterjee, S., Ojha, S., Bhattacharyya, A. & Ghosh, R. (2026). Bhabanipur Assembly Election Digital Twin: A GEO-Spatial Multimodal Artificial Intelligence Structure. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.004
Das, Poushali, et al.. "Bhabanipur Assembly Election Digital Twin: A GEO-Spatial Multimodal Artificial Intelligence Structure." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.004.
Das, Poushali,Anindita Naha,Raima Bhattacharyya,Trishna Chakraborty,Arpita Chakraborty,Chandra Karmakar,Siddhartha Chatterjee,Subhajit Ojha,Abhinaba Bhattacharyya, and Ritwika Ghosh. "Bhabanipur Assembly Election Digital Twin: A GEO-Spatial Multimodal Artificial Intelligence Structure." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.004.
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- •Published on: Apr 03 2026
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